Rogue device discrimination in ZigBee networks using wavelet transform and autoencoders

Fard, Mohammad Amin Haji Bagheri; Chouinard, Jean‐Yves; Lebel, Bernard

doi:10.1007/s12243-020-00796-x

Cited by 8 publications

(4 citation statements)

References 24 publications

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“…Kumar establishes an enhanced shortcut tree routing-based geographic location (ESTRBGL) protocol [7]. Haji Bagheri Fard present methods based on deep learning algorithms to achieve high classification accuracy [8]. Zigbee has been implemented on the Health Care Profile.…”

Section: The Development Of Witmedmentioning

confidence: 99%

Artificial intelligence (AI) is intelligence—perceiving, synthesizing, and inferring information—demonstrated by machines, as opposed to intelligence displayed by non-human animals and humans. Example tasks in which this is done include speech recognition, computer vision, translation between (natural) languages, as well as other mappings of inputs. The Oxford English Dictionary of Oxford University Press defines artificial intelligence as:

Nabeel¹

2023

Preprint

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Section: The Development Of Witmedmentioning

confidence: 99%

Artificial intelligence (AI) is intelligence—perceiving, synthesizing, and inferring information—demonstrated by machines, as opposed to intelligence displayed by non-human animals and humans. Example tasks in which this is done include speech recognition, computer vision, translation between (natural) languages, as well as other mappings of inputs. The Oxford English Dictionary of Oxford University Press defines artificial intelligence as:

Nabeel¹

2023

Preprint

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“…However, networking becomes quite difficult when discussing low-power microcontrollers [5], i.e., 8-bits/16-bits. The main goal of the research is to build a network of devices with low-power microcontrollers, such as various home appliances, and to communicate voice over it wirelessly to provide a means for automation [6,7].…”

Section: Operating Modes and Low Power Consumptionmentioning

confidence: 99%

Zigbee-Based Low Power Consumption Wearables Device for Voice Data Transmission

et al. 2022

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Short-range wireless technologies can transmit real-time voice, audio, picture, and video communications. Such networks’ energy usage and transmission reach are crucial, especially for portable and power autonomous devices. Voice over Zigbee technology’s goal is to create a competitive service that excels in these performance factors. IEEE standard 802.15.4 specifies two layers for low-rate WPANs: the physical layer and the media access control layer, with a data rate limit of 250 kbps. This partnership used low-level PHY and MAC layers as the foundation for developing the Zigbee network protocol, security, and applications. To overcome the problem of lowering costs and power usage to make this technology more accessible to the general public. This system displays the network’s operational data, such as wireless voice communication. This effort was made to minimize the overall cost of manufacturing such gadgets that contribute to home automation systems and related projects. The primary goal of the research was to communicate voice through low-power microcontrollers such as 8-bit microcontrollers using Zigbee. In this study, we developed a wireless sensor network (WSN) communication system based on Zigbee to securely transfer speech data over a medium-range distance (medium) and lower the equipment cost and communication expenses by 30% without compromising the data integrity. A testbed has been established to validate the fundamental functionality of the proposed ZigBee-based home network system. The suggested system’s network coverage capabilities were evaluated, as well as its packet loss and energy savings in long-term wireless network monitoring duties.

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Section: The Development Of Witmedmentioning

confidence: 99%

Design and Implementation of Intelligent Medical System for Chronic Diseases

Wang¹,

Zeng²

2020

AJCST

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With the continuous improvement of human living conditions and the aggravation of global aging level, chronic diseases such as hypertension and diabetes continue to plague human health. Chronic diseases have long duration, difficulty in treatment and high cost. Research on an effective intelligent system to prevent, recognize and control this kind of disease becomes an effective means to fight against this kind of disease. This paper takes chronic diseases as the research object, and proposes a design of intelligent medical system for chronic diseases based on semantic matching by the adaptation of ZigBee technology in the front-end data acquisition. Through the ZigBee wireless sensor network, this system sends the physiological parameters collected by various medical sensors to the intelligent medical system, and innovatively proposes semantic matching algorithm to solve the queuing problem of data transmission, to ensure the accuracy of data transmission. This system employs the improved spatial vector model to process the data uploaded, and uses AES encryption algorithm in the process of data transmission to ensure the security of data transmission. The realization of the intelligent system provides a scientific means of disease management for chronic disease patients, and realizes the effective management of chronic disease, which meets the design requirements and receives great patients' evaluation.

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Rogue device discrimination in ZigBee networks using wavelet transform and autoencoders

Cited by 8 publications

References 24 publications

Zigbee-Based Low Power Consumption Wearables Device for Voice Data Transmission

Design and Implementation of Intelligent Medical System for Chronic Diseases

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